activity
20152021
most citedLearning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

239 citations · 890 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.AI2019★ 35 cited

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems

Wen Song, Zhiguang Cao, Jie Zhang +1

Backtracking search algorithms are often used to solve the Constraint Satisfaction Problem (CSP). The efficiency of backtracking search depends greatly on the variable ordering heu…

cs.AI2019★ 49 cited

Learning Improvement Heuristics for Solving Routing Problems

Yaoxin Wu, Wen Song, Zhiguang Cao +2

Recent studies in using deep learning to solve routing problems focus on construction heuristics, the solutions of which are still far from optimality. Improvement heuristics have…

cs.IR2019★ 77 cited

Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation

Xiao Sha, Zhu Sun, Jie Zhang

Knowledge graphs (KGs) have proven to be effective for high-quality recommendation, where the connectivities between users and items provide rich and complementary information to u…

cs.IR2019★ 192 cited

Research Commentary on Recommendations with Side Information: A Survey and Research Directions

Zhu Sun, Qing Guo, Jie Yang +4

Recommender systems have become an essential tool to help resolve the information overload problem in recent decades. Traditional recommender systems, however, suffer from data spa…

cs.DB2019★ 20 cited

Exploring Communities in Large Profiled Graphs

Yankai Chen, Yixiang Fang, Reynold Cheng +3

Given a graph and a vertex , the community search (CS) problem aims to efficiently find a subgraph of whose vertices are closely related to . Communities are pre…